Multimedia analytics is a new and exciting research area that combines techniques from multimedia analysis, visual analytics, and data management, with a focus on creating interactive (human in the loop) systems for analysing large-scale multimedia collections. The size and complexity of media collections is ever increasing, as is the desire to harvest useful information from these collections, with expected impacts ranging from the advancement of science to increased company profits. Indeed, multimedia analytics sees potential applications in diverse fields, including data journalism, urban computing, lifelogging, digital heritage, healthcare, digital forensics, marketing, people analytics, natural sciences, and social media. We therefore consider multimedia analytics to be one of the core research challenges of the multimedia research community.
In the first half of the MAPTA session, each presenter will be given 8 minutes to present the main ideas of the paper. In the remainder of the session, we will host a panel with questions from the audience and the session organizers. The MAPTA 2021 session follows successful special sessions at previous MMM conferences; for a full history, including session reports, visit the MAPTA website.
Topics include, but are not limited to:
- Applications of multimedia analytics, including novel applications.
- Techniques and algorithms for multimedia analytics.
- Systems, services and implementations for multimedia analytics.
- Evaluations of multimedia analytics tools and techniques.
- Definition, direction and/or critique of multimedia analytics.
Information for authors
We seek high-quality submissions of length up to 12 pages. We invite a variety of submissions to the special session:
- Research papers: These papers should present recent and relevant research results that may have deep implications for multimedia analytics. These papers might include system papers, algorithm papers, and user evaluation papers.
- Experience papers: As the year 2020 started with the worldwide COVID19 pandemic, many crucial decisions (e.g., in relation with logistics, health, confinement, transportation, industrial emergency productions, and (fake) news propagation) were taken by public bodies running analytics tasks against very diverse data feeds. Multimedia analytics might have received an unexpected jump-start and we call for papers which analytically and critically share experiences from such projects.
- Position papers: These papers can address various aspects of multimedia analytics. We will prefer position papers that are backed up by recent results, which could be already published or appear first in the paper.
All papers must represent original and unpublished work that is not currently under review.
Special session papers will supplement the regular research papers and will be included in the proceedings of MMM 2021. For more information on submitting a paper to the special session, please visit the Author Guidelines page of the main MMM conference.
Björn Þór Jónsson, IT University of Copenhagen, Denmark
Stevan Rudinac, University of Amsterdam, Netherlands
Xirong Li, Renmin University of China, China
Cathal Gurrin, Dublin City University, Ireland
Laurent Amsaleg, CNRS-IRISA, France